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web-search

Search the web, platforms, and datasets. Use when asked to search, find, look up, research, or discover information from the web, YouTube, Amazon, eBay, news, academic sources, or any online platform.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md16.6 KB
  • skill.meta.json275 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Search — General-Purpose Web & Platform Search

Setup

Read your credentials from ~/.gooseworks/credentials.json:

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Search the web, platforms, and proprietary datasets. Pick the best API for the task — or combine several for comprehensive results.

1. Tavily — Comprehensive Web Search & Research

Best for: General web search, deep research reports, site mapping, and crawling.

Search the web:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/search"}'
  "query": "latest developments in AI agents",
  "search_depth": "advanced",
  "include_answer": true,
  "max_results": 10
}'

Deep research (async — returns a report with citations):

# Step 1: Start research task
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/research","body":{"input":"Compare AI agent frameworks for production use","model":"pro"}}'
# Step 2: Poll for results using request_id
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/research/{request_id}"}'

Map a website (discover all URLs):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/map","body":{"url":"https://docs.example.com","limit":200}}'

Crawl a website (extract content from multiple pages):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/crawl"}'
  "url": "https://docs.example.com",
  "max_depth": 3,
  "limit": 50
}'

Key parameters: search_depth (basic/fast/advanced/ultra-fast), topic (general/news), time_range (day/week/month/year), include_domains/exclude_domains, include_answer, include_raw_content, country.

2. Exa — Neural & Semantic Search

Best for: Finding similar content, semantic/embeddings-based search, category-filtered search (people, companies), and deep research.

Neural web search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/search"}'
  "query": "startups building AI coding assistants",
  "numResults": 10,
  "type": "auto",
  "contents": {"text": true}
}'

Find similar pages:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/findSimilar"}'
  "url": "https://example.com/article",
  "numResults": 10,
  "contents": {"text": true}
}'

Get a sourced AI answer:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/answer","body":{"query":"What are the best practices for prompt engineering?"}}'

Get page contents:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/contents","body":{"urls":["https://example.com"],"text":true,"summary":true}}'

Deep research (async):

# Step 1: Create task
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/research/v1","body":{"instructions":"Research the current state of AI coding assistants","model":"exa-research-pro"}}'
# Step 2: Poll with researchId
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/research/v1/{researchId}"}'

Key parameters: type (auto/neural/fast/deep), category (people/company), includeDomains/excludeDomains, startPublishedDate/endPublishedDate, includeText/excludeText.

3. Andi — Fast Web Search

Best for: Quick, high-quality web search with intelligent ranking and instant answers. Low latency.

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"andi","path":"/v1/search","query":{"q":"how%20does%20RAG%20work","depth":"deep","limit":"20"}}'

Key parameters: q (query), limit (1-100), depth (fast/deep), intent (NewsSearchIntent, VideoSearchIntent, ImageSearchIntent), dateRange (day/week/month/year), includeDomains/excludeDomains, country, language.

4. Linkup — Question-Based Search with Sourced Answers

Best for: Natural language questions, sourced answers with citations, structured output.

Search with sourced answer:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search"}'
  "q": "What are the latest AI agent frameworks?",
  "depth": "deep",
  "outputType": "sourcedAnswer"
}'

Structured output search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search"}'
  "q": "Top 5 AI startups in 2025",
  "depth": "deep",
  "outputType": "structured",
  "structuredOutputSchema": {
    "type": "object",
    "properties": {
      "startups": {
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "name": {"type": "string"},
            "description": {"type": "string"},
            "funding": {"type": "string"}
          }
        }
      }
    }
  }
}'

Key parameters: q (natural language question), depth (standard/deep), outputType (searchResults/sourcedAnswer/structured), fromDate/toDate, includeDomains/excludeDomains, maxResults.

5. Valyu — Web, Proprietary Datasets & News Search

Best for: Searching across web, academic/proprietary datasets, and news. AI-generated answers. Deep research tasks.

Web search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/search","body":{"query":"AI agent frameworks comparison","search_type":"web","max_num_results":10}}'

Academic/proprietary search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/search","body":{"query":"transformer architecture improvements","search_type":"proprietary"}}'

News search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/search","body":{"query":"OpenAI latest announcements","search_type":"news"}}'

AI-generated answer:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/answer","body":{"query":"What are best practices for building AI agents?"}}'

Deep research (async):

# Step 1: Create task
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/deepresearch/tasks","body":{"query":"Comprehensive analysis of vector databases market","mode":"standard"}}'
# Step 2: Poll for status
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/deepresearch/tasks/{id}/status"}'

Key parameters: search_type (web/proprietary/news), fast_mode, included_sources/excluded_sources, relevance_threshold, start_date/end_date, country_code.

6. SearchAPI — Multi-Platform Search

Best for: Searching specific platforms — Amazon, eBay, Walmart, YouTube, Airbnb, TripAdvisor, app stores, and ad libraries (Meta, TikTok, Reddit, LinkedIn).

All SearchAPI calls use the same endpoint with different engine values:

Amazon product search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"wireless%20headphones"}}'

eBay search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"ebay_search","q":"vintage%20watch"}}'

Walmart search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"walmart_search","q":"laptop"}}'

YouTube search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"youtube","q":"AI%20agents"}}'

YouTube video details / comments / transcripts:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"youtube_video","video_id":"dQw4w9WgXcQ"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"youtube_comments","video_id":"dQw4w9WgXcQ"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"youtube_transcripts","video_id":"dQw4w9WgXcQ"}}'

Airbnb search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"airbnb","q":"Paris","adults":"2","check_in_date":"2025-06-01","check_out_date":"2025-06-07"}}'

TripAdvisor search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"tripadvisor","q":"best%20restaurants%20NYC"}}'

Apple App Store:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"apple_app_store","term":"productivity"}}'

Ad library search (Meta, TikTok, Reddit, LinkedIn):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"meta_ad_library","q":"AI%20tools"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"tiktok_ads_library","q":"AI"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"reddit_ad_library","q":"software"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"linkedin_ad_library","q":"hiring"}}'

Social media profiles:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"tiktok_profile","username":"openai"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"instagram_profile","username":"openai"}}'

Available engines: amazon_search, ebay_search, walmart_search, youtube, youtube_video, youtube_comments, youtube_transcripts, youtube_channel, youtube_channel_videos, airbnb, tripadvisor, apple_app_store, meta_ad_library, tiktok_ads_library, reddit_ad_library, linkedin_ad_library, tiktok_profile, instagram_profile.

Tips

  • General web search: Start with Tavily (search_depth: "advanced") or Exa (type: "auto") for best relevance
  • Speed matters: Use Andi for fast results, Tavily ultra-fast for lowest latency
  • Sourced answers: Linkup and Valyu both generate answers with citations — Linkup is best for Q&A, Valyu for blending web + proprietary data
  • Academic/research data: Valyu's proprietary search type covers arxiv, pubmed, and academic datasets
  • News: Use Valyu (search_type: "news") or Tavily (topic: "news") for current events
  • Deep research: Tavily, Exa, and Valyu all offer async research tasks — Tavily for web-focused, Exa for comprehensive with citations, Valyu for web + academic mix
  • Find similar content: Exa's /findSimilar is unique — pass a URL and get semantically similar pages
  • Platform-specific search: SearchAPI is the only option for Amazon, eBay, Walmart, YouTube, Airbnb, TripAdvisor, and ad libraries
  • Domain filtering: Most APIs support include_domains/exclude_domains to scope results
  • Async patterns: Deep research tasks (Tavily, Exa, Valyu) are async — POST to start, GET to poll for results
  • Combine APIs: For thorough research, run Tavily + Exa + Linkup in parallel and cross-reference results

Discover More

List all endpoints for any API, or add a path for parameter details:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"tavily API endpoints"}' api show exa
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"andi API endpoints"}' api show linkup
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"valyu API endpoints"}' api show searchapi

Example: curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \ -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ -H "Content-Type: application/json" \ -d '{"api":"tavily","path":"/search"}' for full parameter details.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2452026年10月13日 更新

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2452026年10月13日 更新

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2452026年10月13日 更新

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2452026年10月13日 更新

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2452026年10月13日 更新

Turn a brand's facts, a campaign brief and the product into a one-minute Meta ad strategy with its reasoning — goal, audience, objective and placements, budget split, how many ads and how different they must be (generate 3x so the user can choose), the test frame, the success metric, and safety rules for the user to accept. Decides what launch-meta-ad-campaign then executes, and re-reads the strategy after a deep check to show which assumption changed. Use it after intake and before any creative is generated or any campaign is built.

日本語の概要は準備中です。原文の説明を表示しています。

gooseworks-ai/goose-skills1,2452026年10月13日 更新

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